CN105615884A - Sleep apnea syndrome detecting method and device - Google Patents
Sleep apnea syndrome detecting method and device Download PDFInfo
- Publication number
- CN105615884A CN105615884A CN201610158552.4A CN201610158552A CN105615884A CN 105615884 A CN105615884 A CN 105615884A CN 201610158552 A CN201610158552 A CN 201610158552A CN 105615884 A CN105615884 A CN 105615884A
- Authority
- CN
- China
- Prior art keywords
- vibration signal
- intensity
- signal
- human body
- snoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4812—Detecting sleep stages or cycles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7242—Details of waveform analysis using integration
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/087—Measuring breath flow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6892—Mats
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/003—Detecting lung or respiration noise
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/33—Controlling, regulating or measuring
- A61M2205/3375—Acoustical, e.g. ultrasonic, measuring means
Abstract
The invention discloses a sleep apnea syndrome detecting method and device.The method comprises the steps of acquiring vibration signals generated when a person sleeps, and judging respiratory signals of the person, wherein the respiratory signals include an inspiration signal generated during inspiration and an expiration signal generated during expiration; acquiring the strength of the first vibration signal with frequency within the specific range superimposed on the inspiration signal, and the strength of the second vibration signal with frequency within the specific range superimposed on the expiration signal adjacent to the inspiration signal; comparing the strength of the first vibration signal with the strength of the second vibration signal according to a predetermined method, and judging whether the person snores according to the comparison result.Due to the fact that detection is conducted synchronous with respiration, interference caused by coughing, speaking and acoustical signals transmitted in the air can be avoided, and then sleep apnea syndrome judgment accuracy is improved greatly.Meanwhile, the method and device can be realized simply by conducting software modification on an existing sleep sensor, and extra hardware expense is not needed.
Description
Technical field
The present invention relates to snore disease detection field, particularly relate to a kind of method and the device that detect snore disease.
Background technology
Attendant phenomenon when snore disease (be called as again: snore, the stagnant resistance of sleep-respiratory etc. of snoring) is a kind of sleep generally existed, current most of people thinks that this is customary, and takes exception to, and somebody regards the performance sleeping fragrant as snoring. In fact snoring is healthy formidable enemy, the stagnant resistance of sleep-respiratory is made owing to snoring, cause brain, blood severe depletion of oxygen, form hypoxemia, hypertension, brain worry, heart disorder, myocardial infarction, stenocardia etc. may be brought out, if night respiration time out was easily died suddenly in morning more than 120 seconds.
So assessment and then prevention human body snore disease are necessary effectively. Prior art is included in pillow, mattress is medium arranges shaking device, when detecting that human body is in snore symptom state, starts shaking device, converts the sleep position of human body or wake user up, it is possible to effectively control the snore symptom state of user. But the sound that in prior art, the detection of snore symptom state is generally sent by the oral cavity of human body judges, when human body is spoken or external voice overlaps with judging criterion, erroneous judgement can be caused, so prior art human body snore disease exists the low defect of specificity.
Summary of the invention
The main purpose of the present invention is for providing a kind of method and the device that detect snore disease relative to sonic detection snore disease more accurately.
In order to realize foregoing invention object, the present invention proposes a kind of method detecting snore disease, comprising:
Obtain vibration signal during sleep quality, and judge the breath signal of human body, wherein, the inspiration signal produced when breath signal comprises air-breathing, and the breath signal produced when exhaling;
Obtain the intensity of the first vibration signal of the stated limit frequency of superposition on inspiration signal, and the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal;
According to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge whether human body is snoring state according to comparative result.
Further, described according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step of snoring state according to comparative result, comprising:
Respectively the first vibration signal and the 2nd vibration signal are carried out intensity integrated, then compare two after process data, judge whether human body is snoring state.
Further, described according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step of snoring state according to comparative result, comprising:
The intensity of the intensity of the first vibration signal and the 2nd vibration signal is carried out ratio computing;
By the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
Further, described by the ratio of gained and the threshold ratio preset relatively, judge that whether human body is the step of snoring state according to comparative result, comprising:
When using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judge that human body is as snoring state;
When using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judges that human body is as the state of snoring.
Further, described by the ratio of gained and the threshold ratio preset relatively, judge that whether human body is the step of snoring state according to comparative result, comprising:
When the intensity of the first vibration signal and the intensity of the 2nd the vibration signal ratio carrying out ratio computing and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judge that human body is in snoring state.
The present invention also provides a kind of device detecting snore disease, comprising:
First acquiring unit, vibration signal during for obtaining sleep quality, and judge the breath signal of human body, and wherein, the inspiration signal produced when breath signal comprises air-breathing, and the breath signal produced when exhaling;
2nd acquiring unit, for obtaining the intensity of the first vibration signal of the stated limit frequency of superposition on inspiration signal, and the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal;
According to comparative result, judging unit, for according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judging whether human body is snoring state.
Further, described judging unit, comprising:
Integration module, for respectively the first vibration signal and the 2nd vibration signal being carried out intensity integrated, then compares two after process data, judges whether human body is snoring state.
Further, described judging unit, comprising:
Ratio computing module, for carrying out ratio computing by the intensity of the intensity of the first vibration signal and the 2nd vibration signal;
Judge module, for by the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
Further, described judgement module, comprising:
First judges submodule block, for when using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judging that human body is as the state of snoring; Or,
2nd judges submodule block, when using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judges that human body is as the state of snoring.
Further, described judgement module, comprising:
3rd judges submodule block, for the ratio carrying out ratio computing when the intensity of the intensity of the first vibration signal and the 2nd vibration signal and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judges that human body is in snoring state.
The method of the detection snore disease of the present invention and device, the intensity of the designated frequency signal superposed with breath signal by the intensity of the designated frequency signal of inspiration signal superposition is compared, judge whether human body is in snore symptom state, owing to using contact-sensing to gather breath signal, can with respiratory movement synchronous detection, cough can be avoided, the interference that the voice signal etc. spoken and propagate in air causes, simultaneously, present method and device only (are placed in pillow in existing sleep sensor, the micro-tremor signal induction installation of mattress) on slightly do the amendment on software and just can realize, need not additionally increase hardware expenditure, its software module increased is also very simple, only the high signal again and again of breath signal not same-phase is entered type detection and filtering process, then enter type division arithmetic etc. carry out to.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the method for the detection snore disease of one embodiment of the invention;
Fig. 2 is the signal view of the breath signal during human body snore disease of one embodiment of the invention;
The signal view of breath signal during Fig. 3 to be the human body of one embodiment of the invention be snoring;
Fig. 4 be one embodiment of the invention judge that whether human body is the schematic flow sheet of snoring state according to comparative result;
Fig. 5 is the structure schematic block diagram of the device of the detection snore disease of one embodiment of the invention;
Fig. 6 is the structure schematic block diagram of the judging unit of one embodiment of the invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
It is to be understood that specific embodiment described herein is only in order to explain the present invention, it is not intended to limit the present invention.
Referring to figs. 1 through Fig. 3, the embodiment of the present invention proposes a kind of method detecting snore disease, comprises step:
Vibration signal when S1, acquisition sleep quality, and judge the breath signal of human body, wherein, the inspiration signal produced when breath signal comprises air-breathing, its corresponding electric signal shows as the baseline upcurve reaching the 1-3 second; And the breath signal produced when exhaling, corresponding electric signal shows as the baseline downcurve reaching the 1-3 second;
S2, the intensity obtaining the first vibration signal of the stated limit frequency of superposition on inspiration signal, corresponding electric signal shows as the higher frequency signals near the 300Hz being superimposed upon on inspiration signal baseline, and the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal, corresponding electric signal shows as the higher frequency signals near the 300Hz being superimposed upon on breath signal baseline;
S3, according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge whether human body is snoring state according to comparative result.
As described in above-mentioned steps S1, the method of vibration signal when obtaining sleep quality can be that the pillow by being provided with micro-tremor signal induction installation or mattress etc. gather, the information that this vibration signal generally contains the heartbeat of human body, breathes, stands up, the present invention only needs to obtain breath signal by the process such as detection, filtering. Above-mentioned breath signal comprises inspiration signal and breath signal, the process namely comprised in the one-period of human body respiration process, such as air-breathing---exhale as one-period, or exhale---air-breathing is one-period etc. When human body is snored, mainly hindered during human body air-breathing, and sent " snore " sound, when exhaling, then generally be there will not be " snore " sound, so breath signal being carried out the explanation that careful differentiation can facilitate subsequent analysis.
As described in above-mentioned steps S2, respiratory rate during sleep quality is generally 0.2Hz��0.5Hz, when human body is snored, there will be the vibration signal of 200Hz��300Hz, it can be added on breath signal, say it is be added on inspiration signal more accurately, so the intensity of the vibration signal of the 200Hz��300Hz being added on breath signal, it is possible to whether snoring occurs when reflecting sleep quality.
As described in above-mentioned steps S3, with reference to Fig. 2, when human body snoring state occurs, on inspiration signal, the intensity of the first vibration signal of superposition can be obviously different from the intensity of the 2nd vibration signal of superposition on breath signal, and the such as intensity of the first vibration signal is obviously greater than the 2nd vibration signal; With reference to Fig. 3, and when the intensity of the first vibration signal is identical with the intensity cardinal principle of the 2nd vibration signal, then illustrate that human body is not snored. Above-mentioned default method comprises multiple, such as the intensity of the first vibration signal and the intensity of second signal are subtracted each other, the absolute value of the result value obtained is compared with default threshold value, if the absolute value of result value is more than or equal to default threshold value, then can think that human body is in snoring state etc.
In the present embodiment, above-mentioned according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step S3 of snoring state according to comparative result, comprising:
S31, respectively the first vibration signal and the 2nd vibration signal are carried out intensity integrated, then compare two after process data, judge whether human body is snoring state.
As described in above-mentioned steps S31, the first vibration signal and the 2nd vibration signal carry out intensity integrated, it is possible to obtain the result that two are equivalent to intensity, and gained result is more directly perceived, facilitates two data to compare computing.
With reference to Fig. 4, in the present embodiment, above-mentioned according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step of snoring state according to comparative result, comprising:
S301, the intensity of the intensity of the first vibration signal and the 2nd vibration signal is carried out ratio computing;
S302, by the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
As described in above-mentioned steps S301, when human body is normally slept, the intensity of the first vibration signal is substantially identical with the intensity of the 2nd vibration signal, so ratio between the two is about 1.
As described in above-mentioned steps S302, when human body is in snoring state, both ratio persons can be greater than an appointment threshold value, or be less than another and specify threshold value, and which is relevant as denominator according to the intensity of the intensity of the first vibration signal and the 2nd vibration signal for the result of ratio. As in one embodiment, when using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judging that human body is as snoring state, in the present embodiment, the first threshold value generally selects 1.5; In another specific embodiment, when using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judging that human body is as the state of snoring, in the present embodiment, Second Threshold generally selects 0.67.
In the present embodiment, above-mentioned by the ratio of gained and the threshold ratio preset relatively, judge that whether human body is the step S302 of snoring state according to comparative result, comprising:
S3021, when the intensity of the first vibration signal and the intensity of the 2nd the vibration signal ratio carrying out ratio computing and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judge that human body is in snoring state.
As described in above-mentioned steps S3021, above-mentioned continuous predetermined number of times meets snoring status flag and refers to, when in continuous print several respiratory cycles, the ratio that the intensity of the first vibration signal of each breath signal and the intensity of the 2nd vibration signal carry out ratio computing and the threshold ratio preset are relatively, snoring state may be in when all representing sleep quality, so just can determine that this human body is in snoring state. Due to respiratory movement synchronous detection, multiple respiratory movement meets snoring status flag and just judges, the interference of initiations such as coughing, speak can be avoided, simultaneously, other vibration signal is synchronous with respiratory movement owing to being difficult to repeatedly, so being difficult to the identification that makes the mistake, improve the identification accuracy of snoring state widely.
In one embodiment, shaking device and the device of detection snore disease are set in a pillow, when the device detecting snore disease detects that human body is in snoring state, control shaking device vibrations; The device of detection snore disease comprises the hardware structures such as micro-tremor signal induction installation, and when the head of human body is urged on pillow, micro-tremor signal induction installation can collect the vibration signal of human body, and its testing process is:
1, micro-tremor signal induction installation gathers the micro-tremor signal of human body, and obtains the breath signal in micro-tremor signal;
2, the vibration frequency detecting superposition on inspiration signal in the device acquisition breath signal of snore disease is first vibration signal of 150Hz, and the vibration frequency obtaining breath signal superposition is the 2nd vibration signal of 150HZ;
3, then respectively the first vibration signal and the 2nd vibration signal are carried out intensity integrated, obtain representing the first result and the 2nd result of the first vibration signal and the 2nd vibration signal intensity respectively;
4, by the first result divided by the 2nd result, if ratio result is more than or equal to 1.5, then think that human body meets snoring status flag;
If 5 continuous five respiratory cycles, the ratio result got all meets and is more than or equal to 1.5, then assert that human body is in snoring state, and controls shaking device vibrations, changes the position etc. of human body head, stops the state of human body snoring.
The method of the detection snore disease of the present embodiment, due to respiratory movement synchronous detection, multiple respiratory movement meets snoring status flag and just judges that human body is in snoring state, the interference of initiations such as coughing, speak can be avoided, simultaneously, other vibration signal is synchronous with respiratory movement owing to being difficult to repeatedly, and also be difficult to make the mistake identification, so its reliability is extremely high; Simple, present method is only slightly done the amendment on software in existing sleep sensor (being placed in the micro-tremor signal induction installation of pillow, mattress) and just can be realized, it is not necessary to the extra hardware that increases is paid; Its software module increased is also very simple, only the high-frequency signal of breath signal not same-phase is carried out detection and filtering process, then carries out division arithmetic and compare.
With reference to Fig. 5, the embodiment of the present invention also provides a kind of device detecting snore disease, comprising:
First acquiring unit 10, vibration signal during for obtaining sleep quality, and judge the breath signal of human body, and wherein, the inspiration signal produced when breath signal comprises air-breathing, its corresponding electric signal shows as the baseline upcurve reaching the 1-3 second; And the breath signal produced when exhaling, its corresponding electric signal shows as the baseline downcurve reaching the 1-3 second;
2nd acquiring unit 20, for obtaining the intensity of the first vibration signal of the stated limit frequency of superposition on inspiration signal, its corresponding electric signal shows as the higher frequency signals near the 300Hz being superimposed upon on inspiration signal baseline; And the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal, corresponding electric signal shows as the higher frequency signals near the 300Hz being superimposed upon on breath signal baseline;
According to comparative result, judging unit 30, for according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judging whether human body is snoring state.
Such as above-mentioned first acquiring unit 10, the method of vibration signal when obtaining sleep quality can be that the pillow by being provided with micro-tremor signal induction installation or mattress etc. gather, the information that this vibration signal generally contains the heartbeat of human body, breathes, stands up, the present invention only needs to obtain breath signal by the process such as detection, filtering. Above-mentioned breath signal comprises inspiration signal and breath signal, the process comprised in the one-period of instant human body respiration process, such as air-breathing---exhale as one-period, or exhale---air-breathing is one-period etc. When human body is snored, mainly hindered during human body air-breathing, and sent " snore " sound, when exhaling, then generally be there will not be " snore " sound, so breath signal being carried out the explanation that careful differentiation can facilitate subsequent analysis.
Such as above-mentioned 2nd acquiring unit 20, respiratory rate during sleep quality is generally 0.2Hz��0.5Hz, when human body is snored, there will be the vibration signal of 200Hz��300Hz, it can be added on breath signal, say it is be added on inspiration signal more accurately, so the intensity of the vibration signal of the 200Hz��300Hz being added on breath signal, it is possible to whether snoring occurs when reflecting sleep quality. When snoring state occurs, on inspiration signal, the intensity of the first vibration signal of superposition can be obviously different from the intensity of the 2nd vibration signal of superposition on breath signal, and when the intensity of the first vibration signal is identical with the intensity cardinal principle of the 2nd vibration signal, then illustrate that human body is not snored.
Such as above-mentioned judging unit 30, with reference to Fig. 2, when human body snoring state occurs, on inspiration signal, the intensity of the first vibration signal of superposition can be obviously different from the intensity of the 2nd vibration signal of superposition on breath signal, and the such as intensity of the first vibration signal is obviously greater than the 2nd vibration signal; With reference to Fig. 3, and when the intensity of the first vibration signal is identical with the intensity cardinal principle of the 2nd vibration signal, then illustrate that human body is not snored. Above-mentioned default method comprises multiple, such as the intensity of the first vibration signal and the intensity of second signal are subtracted each other, the absolute value of the result value obtained is compared with default threshold value, if the absolute value of result value is more than or equal to default threshold value, then can think that human body is in snoring state etc.
With reference to Fig. 6, in the embodiment of the present invention, above-mentioned judging unit 30, comprising:
Integration module 31, for respectively the first vibration signal and the 2nd vibration signal being carried out intensity integrated, then compares two after process data, judges whether human body is snoring state.
As above-mentioned integration module 31, first vibration signal and the 2nd vibration signal carry out intensity integrated, it is possible to obtain the result that two are equivalent to intensity, gained result is more directly perceived, facilitates two data to compare computing.
In the embodiment of the present invention, above-mentioned judging unit 30, comprising:
Ratio computing module 32, for carrying out ratio computing by the intensity of the intensity of the first vibration signal and the 2nd vibration signal;
Judge module 33, for by the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
Such as above-mentioned ratio computing module 32, when human body is normally slept, the intensity of the first vibration signal is substantially identical with the intensity of the 2nd vibration signal, so ratio between the two is about 1.
Such as above-mentioned judgement module 33, when human body is in snoring state, both ratio persons can be greater than an appointment threshold value, or be less than another and specify threshold value, and which is relevant as denominator according to the intensity of the intensity of the first vibration signal and the 2nd vibration signal for the result of ratio.
As in one embodiment, above-mentioned judgement module 33 comprises the first judgement submodule block 331, for when using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judge that human body is as snoring state, in the present embodiment, the first threshold value generally selects 1.5; In another specific embodiment, above-mentioned judgement module 33 comprises the 2nd and judges submodule block 332, for when using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judge that human body is as snoring state, in the present embodiment, Second Threshold generally selects 0.67.
In the present embodiment in, above-mentioned judgement module 33, comprising:
3rd judges submodule block 333, for the ratio carrying out ratio computing when the intensity of the intensity of the first vibration signal and the 2nd vibration signal and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judges that human body is in snoring state.
As the above-mentioned 3rd judges submodule block 333, above-mentioned continuous predetermined number of times meets snoring status flag and refers to, when in continuous print several respiratory cycles, the ratio that the intensity of the first vibration signal of each breath signal and the intensity of the 2nd vibration signal carry out ratio computing and the threshold ratio preset are relatively, snoring state may be in when all representing sleep quality, so just can determine that this human body is in snoring state. Due to respiratory movement synchronous detection, multiple respiratory movement meets snoring status flag and just judges, the interference of initiations such as coughing, speak can be avoided, simultaneously, other vibration signal is synchronous with respiratory movement owing to being difficult to repeatedly, so being difficult to the identification that makes the mistake, improve the identification accuracy of snoring state widely.
In one embodiment, shaking device and the device of detection snore disease are set in a pillow, when the device detecting snore disease detects that human body is in snoring state, control shaking device vibrations; The device of detection snore disease comprises the hardware structures such as micro-tremor signal induction installation, and when the head of human body is urged on pillow, micro-tremor signal induction installation can collect the vibration signal of human body, and its testing process is:
1, micro-tremor signal induction installation gathers the micro-tremor signal of human body, and obtains the breath signal in micro-tremor signal;
2, the vibration frequency detecting superposition on inspiration signal in the device acquisition breath signal of snore disease is first vibration signal of 150Hz, and the vibration frequency obtaining breath signal superposition is the 2nd vibration signal of 150HZ;
3, then respectively the first vibration signal and the 2nd vibration signal are carried out intensity integrated, obtain representing the first result and the 2nd result of the first vibration signal and the 2nd vibration signal intensity respectively;
4, by the first result divided by the 2nd result, if ratio result is more than or equal to 1.5, then think that human body meets snoring status flag;
If 5 continuous five respiratory cycles, the ratio result got all meets and is more than or equal to 1.5, then assert that human body is in snoring state, and controls shaking device vibrations, changes the position etc. of human body head, stops the state of human body snoring.
The method of the detection snore disease of the present embodiment, due to respiratory movement synchronous detection, multiple respiratory movement meets snoring status flag and just judges that human body is in snoring state, the interference of initiations such as coughing, speak can be avoided, simultaneously, other vibration signal is synchronous with respiratory movement owing to being difficult to repeatedly, and also be difficult to make the mistake identification, so its reliability is extremely high; Simple, present method is only slightly done the amendment on software in existing sleep sensor (being placed in the micro-tremor signal induction installation of pillow, mattress) and just can be realized, it is not necessary to the extra hardware that increases is paid; Its software module increased is also very simple, only the high-frequency signal of breath signal not same-phase is carried out detection and filtering process, then carries out division arithmetic and compare.
The foregoing is only the preferred embodiments of the present invention; not thereby the patent scope of the present invention is limited; every utilize specification sheets of the present invention and accompanying drawing content to do equivalent structure or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all it is included in the scope of patent protection of the present invention with reason.
Claims (10)
1. one kind is detected the method for snore disease, it is characterised in that, comprising:
Obtain vibration signal during sleep quality, and judge the breath signal of human body, wherein, the inspiration signal produced when breath signal comprises air-breathing, and the breath signal produced when exhaling;
Obtain the intensity of the first vibration signal of the stated limit frequency of superposition on inspiration signal, and the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal;
According to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge whether human body is snoring state according to comparative result.
2. the method for detection snore disease according to claim 1, it is characterised in that, described according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step of snoring state according to comparative result, comprising:
Respectively the first vibration signal and the 2nd vibration signal are carried out intensity integrated, then compare two after process data, judge whether human body is snoring state.
3. the method for detection snore disease according to claim 1 and 2, it is characterised in that, described according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judge that whether human body is the step of snoring state according to comparative result, comprising:
The intensity of the intensity of the first vibration signal and the 2nd vibration signal is carried out ratio computing;
By the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
4. the method for detection snore disease according to claim 3, it is characterised in that, described by the ratio of gained and the threshold ratio preset relatively, judge that whether human body is the step of snoring state according to comparative result, comprising:
When using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judge that human body is as snoring state;
When using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judges that human body is as the state of snoring.
5. the method for detection snore disease according to claim 3, it is characterised in that, described by the ratio of gained and the threshold ratio preset relatively, judge that whether human body is the step of snoring state according to comparative result, comprising:
When the intensity of the first vibration signal and the intensity of the 2nd the vibration signal ratio carrying out ratio computing and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judge that human body is in snoring state.
6. one kind is detected the device of snore disease, it is characterised in that, comprising:
First acquiring unit, vibration signal during for obtaining sleep quality, and judge the breath signal of human body, and wherein, the inspiration signal produced when breath signal comprises air-breathing, and the breath signal produced when exhaling;
2nd acquiring unit, for obtaining the intensity of the first vibration signal of the stated limit frequency of superposition on inspiration signal, and the intensity of the 2nd vibration signal of the stated limit frequency of superposition on the breath signal adjacent with inspiration signal;
According to comparative result, judging unit, for according to the intensity of default Measures compare first vibration signal and the intensity of the 2nd vibration signal, judging whether human body is snoring state.
7. the device of detection snore disease according to claim 6, it is characterised in that, described judging unit, comprising:
Integration module, for respectively the first vibration signal and the 2nd vibration signal being carried out intensity integrated, then compares two after process data, judges whether human body is snoring state.
8. the device of detection snore disease according to claim 6 or 7, it is characterised in that, described judging unit, comprising:
Ratio computing module, for carrying out ratio computing by the intensity of the intensity of the first vibration signal and the 2nd vibration signal;
Judge module, for by the ratio of gained with preset threshold ratio relatively, judge whether human body is snoring state according to comparative result.
9. the device of detection snore disease according to claim 8, it is characterised in that, described judgement module, comprising:
First judges submodule block, for when using the intensity of the first vibration signal divided by the intensity of the 2nd vibration signal, when gained result is more than or equal to the first threshold value of setting, judging that human body is as the state of snoring; Or,
2nd judges submodule block, when using the intensity of the 2nd vibration signal divided by the intensity of the first vibration signal, when gained result is less than or equals the Second Threshold of setting, judges that human body is as the state of snoring.
10. the device of detection snore disease according to claim 8, it is characterised in that, described judgement module, comprising:
3rd judges submodule block, for the ratio carrying out ratio computing when the intensity of the intensity of the first vibration signal and the 2nd vibration signal and the threshold ratio preset relatively, when continuous predetermined number of times meets snoring status flag, judges that human body is in snoring state.
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610158552.4A CN105615884B (en) | 2016-03-17 | 2016-03-17 | Method and device for detecting snoring |
| EP17765827.5A EP3431000A4 (en) | 2016-03-17 | 2017-03-14 | Method and device for detecting osahs |
| JP2018568479A JP6605767B2 (en) | 2016-03-17 | 2017-03-14 | Sleep apnea detection device |
| PCT/CN2017/076664 WO2017157285A1 (en) | 2016-03-17 | 2017-03-14 | Method and device for detecting osahs |
| US16/131,055 US11020049B2 (en) | 2016-03-17 | 2018-09-14 | Method and device for detecting OSAHS |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610158552.4A CN105615884B (en) | 2016-03-17 | 2016-03-17 | Method and device for detecting snoring |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105615884A true CN105615884A (en) | 2016-06-01 |
| CN105615884B CN105615884B (en) | 2020-04-14 |
Family
ID=56031547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610158552.4A Active CN105615884B (en) | 2016-03-17 | 2016-03-17 | Method and device for detecting snoring |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11020049B2 (en) |
| EP (1) | EP3431000A4 (en) |
| JP (1) | JP6605767B2 (en) |
| CN (1) | CN105615884B (en) |
| WO (1) | WO2017157285A1 (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017157285A1 (en) * | 2016-03-17 | 2017-09-21 | 杨松 | Method and device for detecting osahs |
| CN107348945A (en) * | 2017-08-15 | 2017-11-17 | 北京道贞健康科技发展有限责任公司 | A kind of monitoring system and method for snoring of talking in one's dream of non-recording |
| CN107456211A (en) * | 2017-08-24 | 2017-12-12 | 深圳创达云睿智能科技有限公司 | A kind of sound of snoring detection method, system and terminal device |
| CN107981844A (en) * | 2017-12-08 | 2018-05-04 | 绵眠（上海）智能科技有限公司 | A kind of sound of snoring recognition methods and system based on piezoelectric membrane |
| CN108294756A (en) * | 2018-01-25 | 2018-07-20 | 广州医科大学附属第医院 | One kind being used for portable cough monitoring device and system |
| CN109330564A (en) * | 2018-10-11 | 2019-02-15 | 杨松 | Judge the method and apparatus fallen asleep |
| CN111685907A (en) * | 2016-09-27 | 2020-09-22 | 李陈均 | Wearable device for tooth attachment and induction device for tooth fixation |
| CN112120701A (en) * | 2020-09-17 | 2020-12-25 | 江苏集萃有机光电技术研究所有限公司 | Breathing monitoring mask and breathing monitoring method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5203343A (en) * | 1991-06-14 | 1993-04-20 | Board Of Regents, The University Of Texas System | Method and apparatus for controlling sleep disorder breathing |
| CN103690168A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院深圳先进技术研究院 | Method and system for detecting obstructive sleep apnea syndrome |
| CN203915193U (en) * | 2014-03-14 | 2014-11-05 | 北京航空航天大学 | A kind of snoring belt with respiration pickup |
| CN104188638A (en) * | 2014-09-09 | 2014-12-10 | 喜临门家具股份有限公司 | Sleep guaranteeing system and control method thereof |
| CN104739413A (en) * | 2015-03-23 | 2015-07-01 | 北京怡和嘉业医疗科技有限公司 | Snore detecting method and system |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AUPN304895A0 (en) * | 1995-05-19 | 1995-06-15 | Somed Pty Limited | Device for detecting and recording snoring |
| US7532934B2 (en) * | 2003-09-18 | 2009-05-12 | Cardiac Pacemakers, Inc. | Snoring detection system and method |
| EP2630914B1 (en) * | 2006-01-06 | 2017-09-13 | ResMed Limited | Computer controlled CPAP system with snore detection |
| US8348840B2 (en) * | 2010-02-04 | 2013-01-08 | Robert Bosch Gmbh | Device and method to monitor, assess and improve quality of sleep |
| CN103153183B (en) * | 2010-10-01 | 2015-11-25 | 皇家飞利浦电子股份有限公司 | For diagnosing the apparatus and method of obstructive sleep apnea |
| CN103190910A (en) * | 2012-12-29 | 2013-07-10 | 黑龙江彩格工业设计有限公司 | Detection and regulation device and detection and regulation method for snore of human breathing |
| CN103961105B (en) * | 2014-05-22 | 2016-08-24 | 深圳市帝迈生物技术有限公司 | Snoring is identified and the method and system of intensity output and a kind of respirator |
| US20160286974A1 (en) * | 2015-03-31 | 2016-10-06 | Dennis M. Boyd | Snoring recognition and electric power adjustment |
| CN105147244B (en) * | 2015-06-24 | 2017-03-22 | 湖南明康中锦医疗科技发展有限公司 | Snoring detection control equipment and detection control method thereof |
| CN105615884B (en) * | 2016-03-17 | 2020-04-14 | 苏州泓乐智能科技有限公司 | Method and device for detecting snoring |
-
2016
- 2016-03-17 CN CN201610158552.4A patent/CN105615884B/en active Active
-
2017
- 2017-03-14 JP JP2018568479A patent/JP6605767B2/en active Active
- 2017-03-14 EP EP17765827.5A patent/EP3431000A4/en not_active Withdrawn
- 2017-03-14 WO PCT/CN2017/076664 patent/WO2017157285A1/en active Application Filing
-
2018
- 2018-09-14 US US16/131,055 patent/US11020049B2/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5203343A (en) * | 1991-06-14 | 1993-04-20 | Board Of Regents, The University Of Texas System | Method and apparatus for controlling sleep disorder breathing |
| CN103690168A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院深圳先进技术研究院 | Method and system for detecting obstructive sleep apnea syndrome |
| CN203915193U (en) * | 2014-03-14 | 2014-11-05 | 北京航空航天大学 | A kind of snoring belt with respiration pickup |
| CN104188638A (en) * | 2014-09-09 | 2014-12-10 | 喜临门家具股份有限公司 | Sleep guaranteeing system and control method thereof |
| CN104739413A (en) * | 2015-03-23 | 2015-07-01 | 北京怡和嘉业医疗科技有限公司 | Snore detecting method and system |
Non-Patent Citations (1)
| Title |
|---|
| 陆美珠: "基于体震信号的睡眠监测系统的设计与实现", 《中国信通信》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017157285A1 (en) * | 2016-03-17 | 2017-09-21 | 杨松 | Method and device for detecting osahs |
| US11020049B2 (en) | 2016-03-17 | 2021-06-01 | Song Yang | Method and device for detecting OSAHS |
| CN111685907A (en) * | 2016-09-27 | 2020-09-22 | 李陈均 | Wearable device for tooth attachment and induction device for tooth fixation |
| CN107348945A (en) * | 2017-08-15 | 2017-11-17 | 北京道贞健康科技发展有限责任公司 | A kind of monitoring system and method for snoring of talking in one's dream of non-recording |
| CN107348945B (en) * | 2017-08-15 | 2024-02-06 | 北京道贞健康科技发展有限责任公司 | Non-recording dream snoring monitoring system and method |
| CN107456211A (en) * | 2017-08-24 | 2017-12-12 | 深圳创达云睿智能科技有限公司 | A kind of sound of snoring detection method, system and terminal device |
| WO2019037456A1 (en) * | 2017-08-24 | 2019-02-28 | 深圳创达云睿智能科技有限公司 | Snoring detection method and system, and terminal device |
| CN107456211B (en) * | 2017-08-24 | 2020-07-31 | 深圳创达云睿智能科技有限公司 | Snore detection method, system and terminal equipment |
| CN107981844A (en) * | 2017-12-08 | 2018-05-04 | 绵眠（上海）智能科技有限公司 | A kind of sound of snoring recognition methods and system based on piezoelectric membrane |
| CN108294756B (en) * | 2018-01-25 | 2021-03-05 | 广州医科大学附属第一医院 | Portable cough monitoring device and system |
| CN108294756A (en) * | 2018-01-25 | 2018-07-20 | 广州医科大学附属第医院 | One kind being used for portable cough monitoring device and system |
| CN109330564A (en) * | 2018-10-11 | 2019-02-15 | 杨松 | Judge the method and apparatus fallen asleep |
| CN109330564B (en) * | 2018-10-11 | 2023-04-11 | 杨松 | Method and device for judging falling asleep |
| CN112120701A (en) * | 2020-09-17 | 2020-12-25 | 江苏集萃有机光电技术研究所有限公司 | Breathing monitoring mask and breathing monitoring method |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2019512368A (en) | 2019-05-16 |
| WO2017157285A1 (en) | 2017-09-21 |
| JP6605767B2 (en) | 2019-11-13 |
| US11020049B2 (en) | 2021-06-01 |
| US20190008452A1 (en) | 2019-01-10 |
| EP3431000A1 (en) | 2019-01-23 |
| CN105615884B (en) | 2020-04-14 |
| EP3431000A4 (en) | 2019-09-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105615884A (en) | Sleep apnea syndrome detecting method and device | |
| US10729333B2 (en) | System and method for monitoring physiological activity of a subject | |
| JP5065823B2 (en) | Snoring detection device | |
| EP2663230B1 (en) | Improved detection of breathing in the bedroom | |
| EP2691020A2 (en) | Contactless sleep disorder screening system | |
| CN108289638B (en) | Biological state determination device and biological state determination method | |
| JP2005305101A (en) | Snore detecting method and detecting device | |
| WO2020238954A1 (en) | Apnea monitoring method and device | |
| CN108289779A (en) | Physical condition check device, physical condition inspection method and bed system | |
| CN107981844A (en) | A kind of sound of snoring recognition methods and system based on piezoelectric membrane | |
| CN105997089A (en) | Analysis device and method for sleep-disordered breathing | |
| JP2008068019A (en) | Method and apparatus for outputting exhalation time | |
| JP6518056B2 (en) | Sleep state determination device, sleep state determination method and program | |
| JP2007327993A (en) | Voice monitor system, voice monitor method, program, and cough detection system | |
| WO2017200010A1 (en) | Biological information monitoring system | |
| JP2000325315A (en) | Sleep stage determinig method and sleep stage determining device | |
| US20120029298A1 (en) | Linear classification method for determining acoustic physiological signal quality and device for use therein | |
| CN109414223A (en) | Biont information monitors system | |
| JP2007151979A (en) | Subject's health condition monitoring device | |
| WO2019177052A1 (en) | Sleep/wake determination system | |
| JP4480473B2 (en) | AH measuring device | |
| CN113692523B (en) | Biological information monitoring system, bed system, and biological information monitoring method | |
| JP5568102B2 (en) | Emergency notification system | |
| JP4868514B2 (en) | Apparatus and method for outputting result of estimation of biological state | |
| JP6919415B2 (en) | Drowsiness detection device and drowsiness detection program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20180305 Address after: Longhua District streets and Mei Road 518000 Cameron road in Guangdong province Shenzhen City Interchange Guanghao International Center A block seventeenth layer D. Applicant after: Shenzhen Heyi health medical science and Technology Co., Ltd. Address before: 510000 Guangzhou, Yuexiu District, Temple Road, new right, room No. 2107, room 126 Applicant before: Yang Song |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190416 Address after: 215000 5th Floor, Building No. 78, Keling Road, Science and Technology City, Suzhou High-tech Zone, Jiangsu Province Applicant after: Suzhou Hongle Intelligent Technology Co., Ltd. Address before: 518000 Room D, 17th Floor, Guanghao International Center, Meilong Road and Meizhong Road Intersection, Minzhi Street, Longhua District, Shenzhen City, Guangdong Province Applicant before: Shenzhen Heyi health medical science and Technology Co., Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |